Users in the U.K., Canada, Ireland, Singapore and Australia, meanwhile, will be getting the updated version of Google Assistant soon, as well. The feature appears to look similar to the more sophisticated versions found on the Nest Home Max (and Facebook’s Portal before it), zooming in and out to get people in frame.ĭuo calls on the Pixel 2-4 also to get a bokeh effect to blur out the background during calls, along with Smooth Display, which should offer better playback on spotty connections.Īlso of note is the recently announced arrival of the extremely handy Recorder app on older Pixel models, along with the addition of Live Caption for the Pixel 3 and 3a. The Pixel 4 gets some key Duo improvements, as well, including auto framing, which keeps one or two people centered. The Photos app gets a handy update, making it possible to add a background faux-bokeh blur to portrait photos… for the those times you forget to turn on the feature while shooting. Google notes that all of that info is kept private to the the user, per the below gif. If you wish to publish Portal Background wallpaper on our site, feel free to contact us. We hope our collection of these HD images and wallpapers provide you with utmost joy and be used as a home screen for your desktop and smartphones as well. ![]() When it’s not spam, users will get a notification shortly after, featuring a transcript of the message. Here’s a compilation of game wallpaper and backgrounds, which is free for download. to start, giving users a screen for unknown callers, filtering out robocalls in the process. This one drops for Pixel 4 users in the U.S. The call screen update is probably the biggest of the bunch. This first one brings a whole bunch of upgrades, including a few already noted by some eagle eye views. ![]() © 2021 American Association of Physicists in Medicine.Google this morning announced the arrival of its first “feature drop.” The new offering will continue the company’s regular feature enhancements, now arriving every month like clockwork. The PSM generation does not require shifting the EPID panel nor multiple EPID panel irradiations and should be usable for linacs with fixed geometry EPIDs.ĮPID PSM pixel sensitivity map quality assurance. Within fitting errors, the PSM is independent of beam energy for 6, 10, and 15 MV beams with and without flattening filters. The quality of the PSM is found to be dependent on the quality of the surface fit, which is best for the 6 MV FFF beam measured at SID equal to 180 cm. PSM for MV EPIDs can be determined by separating out the slowly varying, well-behaved fluence signal from the pixel-to-pixel sensitivity variations. When the FFF PSM is utilized, output verification with shifted slit deliveries agreed within ˜0.5% for all beam energies, which is within the radiation delivery uncertainty of ˜0.57%. Applying the FFF PSMs to the flattened-beam measurements reduced the central-axis deviation between the raw and corrected signal to < 0.1%, confirming the PSM energy independence hypothesis. The 6, 10, and 15 MV flattened-beam PSMs were well modeled as 12th degree polynomial surfaces, which were equivalent within ˜0.24% but differed from the FFF PSM by up to 0.5% near the beam central axis. The 6 and 10 MV FFF PSMs were within ˜0.1%, and independent of the EPID SID, suggesting that the PSM is energy independent. The fluence signal of the flattening filter-free (FFF) beams was optimally modeled as a 12th degree polynomial surfaces, which had ≤ 0.1% residuals near the central axis. We also intercompare measurements of fixed slit fields with the EPID being shifted between measurements. Since the PSM is a detector characteristic, it should be independent of those variables. ![]() To validate the generated PSM, we measure beams and compute PSMs for multiple beam energies with and without flattening filters and for multiple source-to-imager distances. Here, we use a polynomial-based regression surface model in both x and y dimensions. This fluence signal-fitted model is then used to determine the PSM. To determine the PSM, after correcting for the background signal, we apply a model that captures the underlying smooth particle energy fluence-induced signal. The background signal is due to the EPID panel electronics, which is determined during radiation absence. Pixels response is a fast and abrupt varying behavior. In large open fields, particle energy fluence is a slow-varying signal that is locally considered spatially constant. ![]() To determine the pixel sensitivity map (PSM) for amorphous silicon electronic portal imaging devices (EPIDs) using a single flood field signal.Ī raw EPID signal results from the incident particle energy fluence, the inherent pixels response, and the background signal.
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